Search Results (13,981)

Post-earthquake emergency response planning requires rapid and adaptive resource allocation under disrupted accessibility, uneven district-level demand, and hazardous field conditions. In large metropolitan areas, these challenges are intensified by spatial differences in social vulnerability, infrastructure disruption, operational feasibility, and responder exposure. Static allocation approaches are often insufficient in such environments because they cannot adequately reflect temporal change or the evolving relationship between urgency, accessibility, and operational risk. This study proposes a dynamic multi-objective model for district-level post-earthquake resource allocation that integrates social vulnerability, occupational safety, and Markov-based updating within a single analytical framework. First, district priority scores are derived through an Analytic Hierarchy Process based on building damage ratio, intervention time, social vulnerability, critical infrastructure damage, secondary hazard risk, team capacity, and occupational safety. Second, a Markov-based updating mechanism is used to represent time-dependent redistribution across response periods. Third, a constrained weighted-sum multi-objective optimization model is formulated to balance district priority, social vulnerability, and responder safety under capacity and accessibility limits. The model is applied to Istanbul using official district-level data from national and local institutional sources. Scenario-based analysis is conducted under balanced, priority-oriented, vulnerability-oriented, and safety-oriented settings, together with static and dynamic model comparisons. The results show that the dynamic structure produces a more adaptive allocation profile than the static structure, with the share of the Very High allocation class declining from 37.66% to 34.95% and the Low allocation class increasing from 12.89% to 16.00% over the response horizon. The findings also indicate that greater emphasis on social vulnerability shifts allocation toward more fragile districts, whereas stronger safety emphasis reduces cumulative operational exposure at the cost of moderate reductions in immediate coverage. Overall, the study contributes to the disaster response literature by linking multi-criteria district prioritization, dynamic redistribution, and safety-aware allocation within a unified district-level decision structure. Beyond the Istanbul application, the proposed framework offers a practical basis for more responsive, equitable, and operationally sustainable post-earthquake planning in complex urban environments. Full article

Background: Preterm birth is a significant early-life stressor associated with increased psychiatric vulnerability and long-term functional impairments in school-aged children. Objective: To compare behavioral–emotional outcomes and functional competence between school-aged preterm and term-born children, examining perinatal, cognitive, and socioeconomic predictors. Methods: 140 children aged 6–10 (70 preterm, 70 age-matched controls) were assessed using the Child Behavior Checklist (CBCL) and Strengths and Difficulties Questionnaire (SDQ). Functional competence—defined as participation in daily activities, social interactions, and school performance—was examined alongside behavioral–emotional outcomes. Predictors included gestational age, birth weight, SES, and cognitive ability. Results: Preterm birth was associated with higher SDQ scores in emotional problems, hyperactivity, and peer problems. CBCL results showed lower total functional competence scores, specifically in activities, social participation, and school performance. Longer NICU stay predicted higher internalizing problems and lower social participation. Cognitive ability was linked to lower SDQ externalizing and internalizing scores. SES was not a significant predictor. Conclusions: Preterm birth and prolonged NICU hospitalization are linked to persistent behavioral–emotional and functional vulnerabilities. These findings underscore the need for early, integrated developmental monitoring within a preventive psychiatry framework to identify psychiatric vulnerability and support functional participation. Full article

The subjective perception of safety in public space is a crucial indicator of urban participation, shaping how people experience and navigate their surroundings. Urban fear spaces highlight how physical, social, and emotional factors unequally structure access to and use of public environments, linking spatial perception to social justice. This paper addresses the question: What opportunities and limitations does a mixed-methods approach—combining immersive Virtual Reality (VR), electrodermal activity (EDA) measurement, and semi-structured interviews—offer for examining subjective perceptions of urban fear? It offers a methodological reflection on an exploratory study of potential fear spaces on the campus of Ruhr University Bochum, hypothesizing that mixed-methods integration reveals non-conscious arousal patterns inaccessible via verbal data alone. We discuss methodological potentials and limitations in integrating physiological data within qualitative frameworks. The study design comprised VR simulation, physiological signal acquisition, and qualitative interpretation and triangulation. Findings show that combining immersive VR with EDA detects non-conscious physiological arousal patterns that would remain inaccessible through verbal data alone, while simultaneously revealing substantial interpretative challenges that necessitate qualitative contextualization. Integrating interviews proved vital for linking physiological patterns to subjective meaning. The reflection concludes with implications for applying such multimodal approaches in participatory urban planning and spatial research. Full article

The transition toward sustainable, human-centric, and resilient manufacturing systems has accelerated the emergence of Industry 5.0, repositioning quality management as a key enabler of sustainable industrial transformation. Quality 5.0 extends digitally enabled quality practices by explicitly integrating human wellbeing, environmental responsibility, and organizational resilience. However, for manufacturing firms in developing economies, guidance on how to prioritize the critical success factors (CSFs) for effective Quality 5.0 adoption remains limited. This study aims to identify and prioritize sustainability-oriented CSFs for Quality 5.0 adoption in South African manufacturing organisations using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP). A systematic literature review informs the development of a hierarchical CSF model, which is subsequently evaluated through expert judgements from industry and academia. Triangular fuzzy numbers and Chang’s extent analysis are employed to address uncertainty and subjectivity in decision-making. Key findings indicate that workforce skills and competence (global weight = 0.134), human-centric leadership (0.122), reliable digital infrastructure (0.118), employee engagement and empowerment (0.109), and environmental sustainability integration (0.096, rank 5) are top enablers. The findings highlight that technological readiness alone is insufficient, and that social and organizational sustainability dimensions play a dominant role in Quality 5.0 adoption within resource-constrained contexts. This study contributes by providing a sustainability-oriented decision-support framework for prioritizing Quality 5.0 adoption initiatives and offers actionable insights for managers and policymakers seeking to advance sustainable manufacturing in developing economies. Full article

Backgrounds: Ports are critical nodes in global logistics and supply chains, yet their operations generate substantial environmental and social externalities. Existing evaluation frameworks have limited capability to address uncertainty, ambiguity, and expert hesitation. Moreover, prior studies frequently examine isolated performance dimensions, overlooking the interconnected roles of port authorities as landlords, regulators, operators, and community stakeholders. Methods: This study proposes an integrated evaluation framework using the Intuitionistic Fuzzy Analytical Hierarchy Process (IF-AHP) to assess environmentally sustainable port performance under uncertain decision environments. By incorporating membership, non-membership, and hesitation degrees, the approach improves the robustness of expert judgments and applies a dual consistency check to reduce bias. Empirical data are obtained from Malaysian port management professionals, enabling the development of a comprehensive framework that includes four main functions and twenty sub-functions. Results: Results reveal that the landlord function holds the highest priority, while operational sustainability dimensions receive the greatest emphasis, with a global weight of approximately 0.105. In contrast, community engagement and social initiatives are assigned relatively lower importance. Conclusions: The IF-AHP framework offers an uncertainty-aware tool that prioritizes sustainability functions, especially environmental mitigation and energy efficiency, enabling informed resource allocation, strategic planning, and policy formulation for balanced, sustainable port overall performance. Full article

Much of the interoception literature assumes that people can accurately detect their heart rate, stomach contractility, muscle tension, and other biological cues. This is not true. Instead, interoception is an active integrative psychological process where the feeling of one’s internal state emerges from physiological signals, contextual cues, and the social and cultural experiences of living in a body. Thinking of interoception this way shifts the focus from measuring accuracy at detecting biological signaling to studying lived experience. One such experience is the widespread objectification of women’s bodies. Living in a body that is chronically evaluated creates a particular form of self-consciousness. Here, we propose that self-objectification redirects attention toward the body, potentially reshaping both the allocation of attention to internal sensations and their interpretation and thereby offering a theoretical account of paradoxes in the interoception literature, such as women’s lower detection accuracy but higher symptom reporting, and mismatches between subjective and physiological reports of menopausal hot flashes. We consider implications for women’s health, including reproductive health, ACL injury risk, and chronic pain. Our framework suggests that “feeling like a woman” reflects an interoceptive experience shaped significantly by objectification, with important consequences for well-being. Full article

Background: Medication adherence is essential for treatment effectiveness and safety, but pharmacy students may find it difficult to assess adherence comprehensively during medication reviews (MRs). This study examined how pharmacy students assess medication adherence in real-world MRs and explored whether complementary adherence frameworks could support broader evaluation. Methods: This observational exploratory study was conducted in the integrated MSc (Master of Science) Pharmacy program at the University of Tartu, Estonia. During the internship, 21 pharmacy students performed a Brown Bag MR with patients aged 65 years or older who used at least 5 prescription medications. Data included patient interviews, e-prescription records, and a validated MR documentation form. An expert panel applied the World Health Organization Medication Adherence Model (WHO-MAM) and the Perceptions and Practicalities Approach (PAPA) to identify adherence determinants not captured by the student-used MR tool. Descriptive statistics and qualitative content analysis were used. Results: Students mainly documented therapy- and patient-related issues, such as incorrect dosing, side effects, and interactions, while socioeconomic and healthcare system factors were rarely identified. Students identified potential adherence-related issues in 19% of cases, whereas experts identified such issues in 57% of cases. Additional gaps included limited recognition of financial barriers, access difficulties, and social support factors. Conclusions: In this exploratory study, pharmacy students identified medication-use-related problems during MRs, but broader adherence-related determinants were less consistently documented. These preliminary findings suggest that structured frameworks such as WHO-MAM and PAPA may be useful for broadening adherence assessment in experiential pharmacy education. Full article

Small and Medium-sized Enterprises (SMEs) are central to the industrial fabric of Sub-Saharan Africa (SSA). Yet, they confront increasing demands to implement sustainability practices originating from institutional contexts markedly different from their own. Existing research has tended to neglect the cultural and institutional negotiations inherent in this process, often framing sustainability adoption as a technical or compliance-oriented exercise rather than as a multifaceted cultural adaptation. This study proposes and empirically examines the concept of sustainability acculturation—the process by which firms align global sustainability norms with local business cultures. Drawing on Institutional Theory, the Resource-Based View, and Berry’s Acculturation Model, we present a context-specific framework, tested using a sequential explanatory mixed-methods approach: survey data from 284 manufacturing SMEs across six SSA countries, followed by 24 semi-structured interviews. Structural equation modeling reveals that international market pressure and owner–manager values are direct drivers, whereas local regulatory pressure exhibits only a weak association with deep cultural integration. Managerial commitment and organizational learning mediate these relationships, while Ubuntu values enhance social sustainability integration, and institutional voids diminish regulatory effectiveness. The model accounts for 57% of the variance in sustainability acculturation. Findings show that SSA SMEs employ distinct acculturation strategies—Integration, Assimilation, Resilient Adaptation, and Decoupling—shaped by the interplay of external pressures, internal capabilities, and contextual conditions. The study underscores the importance of culturally attuned, context-specific interventions for sustainable industrial development in SSA. Full article

Religion, culture, and ethnic heritage play a significant role in shaping migrant identities. This paper examines the interplay of these factors in the identity formation of African Christian migrants in Europe, with a particular focus on second-generation (2G) migrants. It analyzes how 2G individuals negotiate Western secular values alongside Pentecostal orientations in ways that facilitate upward social mobility. The study is based on a critical review of the existing literature, compared with lived realities of migrants in the Netherlands. Drawing on empirical research from various European contexts, the paper aims to provide a rigorous and multidimensional account of intergenerational identity reconstruction among 2G African Christians. By centring the Pentecostal family as a primary site of socialization, the paper explores how 2G African Christians simultaneously distance themselves from, and selectively adapt, elements of indigenous African spirit cosmologies in pursuit of secular, achievement-oriented goals. This dialectical engagement reflects a broader generational shift: while first-generation migrants tend to rely heavily on religion and religious institutions as mechanisms of integration, 2G migrants increasingly prioritize secular aspirations while navigating socioeconomic structures, negotiating belonging, and constructing hybrid forms of transnational identity. In doing so, the paper contributes to scholarship on how 2G African migrants in Europe mobilize Pentecostal spirituality as a resource for achieving secular objectives. Full article

As essential components of the natural environment, urban green and blue spaces (UGBSs) hold significant potential to enhance public health and wellbeing. However, existing research is limited in understanding the spatiotemporal heterogeneity and nonlinear relationships characterizing how built environment (BE) features of UGBSs influence public happiness. This study takes Nanjing, China as a case study. It integrates multisource data (e.g., social media text, remote-sensing imagery, POI data, land use, etc.) and employs machine learning techniques (including sentiment analysis and random forest), to investigate the nonlinear effects and spatiotemporal dynamics of UGBSs’ BE on public happiness. The results show that nonlinear relationships (e.g., S-shaped and inverted U-shaped) commonly exist between UGBSs’ BE indicators and happiness. The influence of UGBSs’ BE on happiness demonstrates significant spatiotemporal dynamics. Diversity and destination accessibility were dominant factors from 2021 to 2023, whereas the importance of the design and density dimensions increased substantially after 2023. The influence varied across UGBS types; except for the diversity dimension, the BE’s density, design, and destination accessibility were significantly associated with happiness across all UGBS types. The study offers empirical evidence to inform planning and management of UGBS infrastructure, with the aim to maximize public health benefits and foster healthy cities. Full article

This paper presents a theoretically grounded integration of deterministic Q-learning with relational game theory (QLRG) for efficiently identifying minimal winning coalitions in Online Social Networks (OSNs). We address the fundamental challenge that coalition formation is NP-hard under traditional approaches by leveraging structural properties of relational dependencies and Armstrong’s axioms to transform the problem into one solvable in polynomial time. Our framework reduces the state space from exponential O(2ⁿ) to O(n²) through a sufficient statistic representation based on coalition size, follower reach, and terminal status, while achieving O(n⁴) time complexity under deterministic, static, and sufficiently symmetric influence structures. The QLRG framework introduces three critical innovations: (1) a principled agent selection mechanism derived directly from the Q-function that eliminates heuristic weight tuning; (2) a formal Boost action defined through temporal closure operators that captures influence spread dynamics; and (3) a constrained MDP formulation that enforces relational consistency through action elimination rather than penalty terms. We prove that the Bellman optimality operator forms a contraction mapping, guaranteeing deterministic convergence to optimal policies with established rates of O(1/√k) for decreasing learning rates or linear convergence up to bias for constant rates. To bridge the gap between this idealized model and the asymmetry inherent in real OSNs, we further develop a cluster-based sufficient statistics approach. By partitioning the network into communities with bounded internal variation, we relax the global symmetry requirement while preserving polynomial state space complexity, and obtaining a single within-community swap changes the optimal Q-value by at most ε_i/(1−γ), which is a local Lipschitz continuity result. The implications of this are both theoretical and practical, and they form the bedrock for relaxing the global symmetry assumption in the QLRG framework. Empirical validation on synthetic networks satisfying the symmetry assumption demonstrates that QLRG consistently identifies minimal winning coalitions matching the optimal solutions found by exhaustive search, while operating with polynomial-time complexity. Unlike conventional approaches, our framework simultaneously satisfies four critical properties: deterministic convergence, policy optimality, minimal coalition identification, and computational tractability. The work bridges computational social science and operations research, providing a mathematically rigorous foundation for strategic decision-making in influencer marketing and coalition formation. While the framework requires symmetry assumptions that may only hold approximately in real-world OSNs, it establishes an idealized baseline for future extensions addressing stochasticity, dynamics, and partial observability. This research represents a paradigm shift from empirical improvements to theoretically grounded convergence guarantees for coalition formation problems, demonstrating how structural mathematical insights can transform intractable problems into efficiently solvable ones without sacrificing solution quality. Full article

Most established street-vitality assessment tools were developed in temperate, predominantly Western urban settings and therefore do not adequately capture the climatic and socio-spatial conditions of hot–arid cities. This study develops and validates the Resident-Centered Street Vitality Framework (RCSVF) using Riyadh as a case study representative of the Arabian Desert urban context. Drawing on a cross-sectional quantitative design, the research integrates a resident survey across nineteen neighborhoods (N = 1102), physical observations of 133 street segments, a visual preference survey (N = 418), and GIS-based spatial analysis. The results reveal marked intra-urban inequality in perceived environmental quality and demonstrate that service proximity is a substantially stronger predictor of residential satisfaction than street physical quality alone. Residents consistently rated shading, green space, and pedestrian infrastructure as the weakest dimensions of their neighborhoods. These findings indicate that street vitality in hot–arid settings cannot be validly assessed through imported observer-based metrics. A resident-centered, climate-responsive framework is required to capture how thermal exposure, functional accessibility, and everyday social use interact in shaping street experience. Full article

Housing acquisition decisions play a strategic role in shaping urban habitability and long-term sustainability, as they directly influence the quality of the built environment and users’ well-being. From an architectural and urban perspective, housing selection can be understood as an assessment of urban habitat quality, in which economic, spatial, social, environmental, and risk-related dimensions interact to define the conditions of livability. This study proposes a multi-objective decision-support framework that integrates evolutionary optimization algorithms (NSGA-II and MOEA/D) with multi-criteria decision analysis (TOPSIS) to support sustainable housing decisions. The model simultaneously considers four conflicting objectives: minimizing acquisition cost, minimizing spatial accessibility and disutility from essential services, maximizing socio-spatial safety and long-term habitat value, and minimizing environmental and territorial risk. A real-world case study in the Tampico metropolitan area demonstrates how the proposed approach generates Pareto-optimal housing alternatives that explicitly reveal trade-offs between habitability dimensions. The resulting non-dominated solutions are subsequently ranked using TOPSIS to reflect user-centered preferences and facilitate transparent decision-making. The results show that the proposed framework effectively operationalizes the concept of urban habitat quality through an explainable, customizable computational tool, thereby contributing to sustainable urban development, resilience, and informed housing choices. This research supports the technological enablement of habitat assessment and aligns with the objectives of SDG 11: Sustainable Cities and Communities, offering a replicable methodology for urban and architectural decision-making contexts. Full article

Existential, spiritual, and religious themes often evoke strong emotions in therapy, yet little is known about how clients’ emotion regulation relates to these aspects. Spiritual psychotherapy for inpatient residential and intensive treatment (SPIRIT) integrates meaning in life within a cognitive-behavioral treatment (CBT) framework in acute and intensive mental health care and provides an appropriate context for examining this. This qualitative study explores: (1) clients’ beliefs about expressing, managing, or suppressing emotions related to meaning in life, spirituality, or religion (MSR); (2) how emotion regulation strategies (e.g., reappraisal, acceptance, and distress tolerance) are influenced by addressing MSR in therapy; and (3) whether engaging with MSR activates emotion regulation mechanisms for clients’ experienced distress. We analyzed 118 client evaluation forms and 19 semi-structured client interviews using a thematic approach informed by emotion regulation theory. SPIRIT-CBT made implicit beliefs about (MSR-related) emotion regulation explicit, and group interactions sometimes led to changes. Clients showed various regulation strategies, for example: MSR-based reappraisal, connectedness, reflection, and positive refocusing. However, emotional tension and suppression were also reported. Particularly from the interviews, it emerged that the therapy facilitated regulation mechanisms, including narrative processing, perspective shifting, sense-making, and social belonging. Focusing on MSR and existential themes addresses an important gap in mental health care and may contribute to supporting clients’ emotional recovery and overall well-being. Full article

Bioplastics are increasingly expected to function not only as alternatives to fossil-derived plastics but also as components of circular plastic systems. However, currently bioplastics remain limited by cost, feedstock availability, achievable biomass content, and end-of-life compatibility. This review examines these limitations by organizing recent technological and policy trends in bioplastics, with particular attention to Japan’s social and industrial infrastructure. On this basis, we discuss a systems-level framework for circular plastics that integrates regionally underutilized non-edible biomass, decentralized production concepts, and the emerging possibility of cell-plastics based on unicellular green algae. We argue that the practical dissemination of biomass plastics requires not only material development but also compatibility with molding processes, recycling and biodegradation pathways, and regional collection and treatment systems. In this context, cell-plastics derived from Chlamydomonas reinhardtii are positioned as an emerging technological platform for direct biomass utilization and interfacial material design, although their large-scale implementation remains limited by current cultivation and manufacturing constraints. We propose that circular biomass-plastics systems in Japan should be developed as regionally adapted production frameworks with clearly defined end-of-life pathways, rather than as simple substitutes for petroleum-derived plastics. Full article